QA Engineer - APAC
Remote • India • FullTime
Posted 6mo ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
We are an applied AI lab building end-to-end software agents, notably the first AI software engineer, Devin. Our team comprises top talent from leading AI companies and competitive programming backgrounds. We are tackling significant global challenges and developing AI capable of real-world reasoning. This role focuses on ensuring the quality of our AI workflows and products, particularly Devin and its associated tools, by thinking like a developer and testing like a user.
Responsibilities
- Own end-to-end product quality across AI workflows, testing onboarding, chat, multi-file edits, agentic tasks, and autonomous workflows.
- Design and execute comprehensive test strategies including functional, regression, integration, exploratory, and E2E tests.
- Break down complex flows into testable scenarios, identifying edge cases, race conditions, and state recovery failures.
- Reproduce, document, and debug issues across different layers, distinguishing between UI, orchestration, and AI behavior.
- Partner with engineering and product to define 'done,' set quality standards, and ensure release readiness.
- Build scalable QA processes and automation, evolving CI/CD and testing practices.
- Establish QA playbooks and test processes.
Requirements
- 5+ years of QA/Test Engineering experience testing complex product workflows.
- Deep expertise in functional, regression, exploratory, integration, and end-to-end testing methodologies.
- Strong developer mindset: comfortable reading/writing code (Python, TypeScript, or similar), navigating codebases, and reasoning about systems.
- User-first testing approach, testing from the perspective of real users.
- Exceptional attention to detail and strong debugging instincts.
- Clear and precise communication in bug reports and triage.
- Familiarity with CI/CD and test automation frameworks.
- Comfort working in fast-moving, release-driven environments.
- Schedule flexibility for overlap with US time zones and potential weekend availability for releases.
- Experience testing AI-powered products with non-deterministic outputs.
- Experience testing IDE plugins/extensions or developer tools.
- Familiarity with AI coding tools (Windsurf, Copilot, Cursor, Devin, etc.).
- Prior software engineering background with shipped production code.